Uses of Class
org.aika.network.Iteration

Packages that use Iteration

Package	Description
org.aika.corpus
org.aika.network.neuron
org.aika.network.neuron.lattice

Uses of Iteration in org.aika.corpus

Methods in org.aika.corpus with parameters of type Iteration

Modifier and Type	Method and Description
static void	Option.addConflict(Iteration t, Option primary, Option secondary)
void	Option.removeAllConflicts(Iteration t)
static void	Option.removeConflict(Iteration t, Option primary, Option secondary)

Uses of Iteration in org.aika.network.neuron

Methods in org.aika.network.neuron with parameters of type Iteration

Modifier and Type	Method and Description
void	Neuron.propagateAddedActivation(Iteration t, Activation act)
void	Neuron.propagateInputFrequencyChange(Iteration t)
void	Neuron.propagateRemovedActivation(Iteration t, Activation act)

Uses of Iteration in org.aika.network.neuron.lattice

Methods in org.aika.network.neuron.lattice with parameters of type Iteration

Modifier and Type	Method and Description
Activation	PositiveInputNode.addActivation(Iteration t, Activation inputAct)
Activation	NegativeInputNode.addActivation(Iteration t, Activation inputAct)
abstract Activation	InputNode.addActivation(Iteration t, Activation inputAct)
void	OrNode.addActivation(Iteration t, LatticeQueue queue, Activation.Key ak, Activation inputAct)
void	AndNode.addActivation(Iteration t, LatticeQueue queue, Activation.Key ak, int recurrentCount, TreeSet<Activation> inputActs)
Activation	Node.addActivationAndPropagate(Iteration t, LatticeQueue queue, Activation.Key ak, int recurrentCount, Option exclusionOption, TreeSet<Activation> inputActs)
Activation	Node.addActivationInternal(Iteration t, Activation.Key ak)
static void	AndNode.addActivationsToNextLevelPattern(Iteration t, LatticeQueue queue, Node firstNode, Node secondNode, InputNode refinement, Activation act, Option conflict)
static void	NegativeInputNode.addInitialActivations(Iteration t)
static void	AndNode.createNextLevelPattern(Iteration t, LatticeQueue queue, Node firstNode, InputNode refinement)
void	OrNode.expandToNextLevel(Iteration t, LatticeQueue queue, Activation act, Option conflict, boolean train)
abstract void	Node.expandToNextLevel(Iteration t, LatticeQueue queue, Activation act, Option conflict, boolean train)
void	InputNode.expandToNextLevel(Iteration t, LatticeQueue queue, Activation act, Option conflict, boolean train)
void	AndNode.expandToNextLevel(Iteration t, LatticeQueue queue, Activation act, Option conflict, boolean train)
static void	OrNode.processCandidate(Iteration t, LatticeQueue queue, Node parentNode, Activation act, Option conflict, boolean train)
static void	AndNode.processCandidate(Iteration t, LatticeQueue queue, Node firstNode, Node secondNode, InputNode refinement, Activation act, Option conflict, boolean train)
void	LatticeQueue.processChanges(Iteration t, boolean train)
void	Node.propagateAddedActivation(Iteration t, LatticeQueue queue, Activation act)
void	Node.propagateRemovedActivation(Iteration t, LatticeQueue queue, Activation act)
void	PositiveInputNode.removeActivation(Iteration t, Activation.Key inputAk)
void	NegativeInputNode.removeActivation(Iteration t, Activation.Key inputAk)
abstract void	InputNode.removeActivation(Iteration t, Activation.Key inputAk)
protected void	OrNode.removeActivation(Iteration t, LatticeQueue queue, Activation.Key ak)
protected void	AndNode.removeActivation(Iteration t, LatticeQueue queue, Activation.Key ak)
void	Node.removeActivationAndPropagate(Iteration t, LatticeQueue queue, Activation.Key ak)
Activation	Node.removeActivationInternal(Iteration t, Activation.Key ak)
void	Node.removeFromNextLevel(Iteration t, LatticeQueue queue, Activation.Key ak)
void	Node.train(Iteration t)